class_docstr: Dataclass to represent any rendezvous event.
  
  Args:
      name: Event name. (E.g. Current action being performed)
      run_id: The run id of the rendezvous
      message: The message describing the event
      hostname: Hostname of the node
      pid: The process id of the node
      node_state: The state of the node (INIT, RUNNING, SUCCEEDED, FAILED)
      master_endpoint: The master endpoint for the rendezvous store, if known
      rank: The rank of the node, if known
      local_id: The local_id of the node, if defined in dynamic_rendezvous.py
      error_trace: Error stack trace, if this is an error event.
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code: def deserialize(data: Union[str, "RdzvEvent"]) -> "RdzvEvent":
      if isinstance(data, RdzvEvent):
          return data
      if isinstance(data, str):
          data_dict = json.loads(data)
      data_dict["node_state"] = NodeState[data_dict["node_state"]]
      return RdzvEvent(**data_dict)
  
file_path: pytorch/torch/distributed/elastic/events/api.py
imports: import json
  from dataclasses import asdict, dataclass, field
  from enum import Enum
  from typing import Dict, Union, Optional
label_desc: Use image node_id 2 for calling the RdzvEvent obj's underlying member method code with example usage: obj.deserialize(data) and returns: RdzvEvent, data